{
 "cells": [
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "### 叠加条形图",
   "id": "338cba70a32cbfea"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-09-04T06:11:26.363680Z",
     "start_time": "2025-09-04T06:11:24.574318Z"
    }
   },
   "cell_type": "code",
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 设置中文字体\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei', 'Microsoft YaHei', 'DejaVu Sans']  # 黑体、微软雅黑\n",
    "plt.rcParams['axes.unicode_minus'] = False  # 解决负号显示问题\n",
    "path = 'D:/2506A/monty03/day09/file/'"
   ],
   "id": "1d825bb33aa1d7a9",
   "outputs": [],
   "execution_count": 1
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-09-04T06:40:13.697984Z",
     "start_time": "2025-09-04T06:40:13.569984Z"
    }
   },
   "cell_type": "code",
   "source": [
    "data = pd.read_excel(path + '成绩3.xlsx')\n",
    "# 排序\n",
    "data.sort_values(by=['机试','理论','品德'], ascending=[False,False,False], inplace=True)\n",
    "# 画图\n",
    "plt.barh(y=data.姓名,left=0,width=data.机试,height=0.8,align='center',label='机试')\n",
    "plt.barh(y=data.姓名,left=data.机试, width=data.理论,height=0.8,align='center',label='理论')\n",
    "plt.barh(y=data.姓名,left=data.机试 + data.理论,width=data.品德,height=0.8,align='center',label='品德')\n",
    "\n",
    "# 显示成绩\n",
    "for x1,y1 in enumerate(data.机试):\n",
    "    plt.text(x=y1/2,y=x1,s=str(y1),fontsize=11,va='center',ha='center',color='black')\n",
    "\n",
    "for x2,y2 in enumerate(data.机试 + data.理论):\n",
    "    plt.text(x=y2-20,y=x2,s=str(data.理论.iloc[x2]),fontsize=11,va='center',ha='center',color='black')\n",
    "\n",
    "for x3,y3 in enumerate(data.机试 + data.理论 + data.品德):\n",
    "    plt.text(x=y3-10,y=x3,s=str(data.品德.iloc[x3]),fontsize=11,va='center',ha='center',color='black')\n",
    "    # 显示总成绩\n",
    "    plt.text(x=y3+10,y=x3,s=str(y3),fontsize=11,va='center',ha='center',color='yellow')\n",
    "\n",
    "\n",
    "# 设置图例\n",
    "plt.legend(loc='upper right',ncol=1)\n",
    "# 设置标签\n",
    "plt.xlabel('成绩')\n",
    "plt.ylabel('姓名')\n",
    "# 设置标题\n",
    "plt.title('人工智能2506A班成绩')\n",
    "\n",
    "\n",
    "# 显示\n",
    "plt.show()"
   ],
   "id": "86f489895da096b8",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 32
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
